Triple

T1424927
Position Surface form Disambiguated ID Type / Status
Subject Mystic River watershed E30307 entity
Predicate contains P35 FINISHED
Object Little River E111312 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Little River | Statement: [Mystic River watershed, contains, Little River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little River
Context triple: [Mystic River watershed, contains, Little River]
  • A. Little River chosen
    Little River is a small waterway flowing through the town of Redding in Fairfield County, Connecticut.
  • B. Little River
    Little River is a waterway in Durham County, North Carolina, that serves as an important local stream and reservoir source for the surrounding communities.
  • C. Little River
    Little River is a small urban waterway in Massachusetts that flows through the Alewife Brook Reservation, contributing to its wetlands and wildlife habitat.
  • D. Reedy River
    Reedy River is a scenic waterway in upstate South Carolina known for flowing through downtown Greenville and anchoring the popular Falls Park on the Reedy.
  • E. Wilga River
    The Wilga River is a small river in southern Poland that flows through the Lesser Poland region and passes near the town of Wieliczka before joining the Vistula.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4bd59148190b96f9f585e07aa0d completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4dadd801481909551f6ed73e02fc2 completed March 14, 2026, 3:49 a.m.
Created at: March 1, 2026, 8 p.m.